States Estimation of the Two-Mass Drive System Using Multilayer Observer

Krzysztof Szabat, Karol Wrobel, Kacper Sleszycki, Seiichiro Katsura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper presents an application of a multilayer observer to state estimation of the two-mass system. After an introduction where the topic of estimation in the field of drive system with an elastic joint is briefly presented, the main point of the paper is described. Then the mathematical model of the drive with elasticity is demonstrated. Next, the advanced control structure with PI controller and additional feedbacks from the selected states variables and load torque is shown. The classical observer is introduced later, and its drawbacks are pointed out. Next, the idea of a multilayer observer is discussed. The mathematical formulation describing the adaptation mechanism used in the observer is presented. Simulation results showing the properties of the multi-layer observer working in an open- A nd closed-loop system are included accompanied by experimental results.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE 19th International Power Electronics and Motion Control Conference, PEMC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages743-748
Number of pages6
ISBN (Electronic)9781728156606
DOIs
Publication statusPublished - 2021 Apr 25
Event19th IEEE International Power Electronics and Motion Control Conference, PEMC 2021 - Gliwice, Poland
Duration: 2021 Apr 252021 Apr 29

Publication series

NameProceedings - 2021 IEEE 19th International Power Electronics and Motion Control Conference, PEMC 2021

Conference

Conference19th IEEE International Power Electronics and Motion Control Conference, PEMC 2021
Country/TerritoryPoland
CityGliwice
Period21/4/2521/4/29

Keywords

  • control
  • multi-layer observer
  • state estimation
  • torsional vibration

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Aerospace Engineering
  • Control and Optimization

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